Analytical Interview Questions

Shubh T. - "Clarifying Qns: Note: How do we define DAUs? Let's say it's open ended and based on general engagement (watch time, comments, etc.) Did the watch time went down and comments went up for the same videos or are we saying total watch time and total comments on Youtube? (Total) I am assuming we are not including Youtube Live videos because those are typically live chat 1000’s of comments for a single video. (Correct) Do we know if these two could be independent problems not correlated wit"See full answer

Michelle B. - "I would analise it in some macro and micro aspects and then evaluate those, and think abou an release strategy. First considering the macro aspects that are: what is the main business goal and is the product addressing it? what is the user value and how the product is working towards this? And by last, what is the success metric, and how likely the product as it is, is in the way of accomplish it? Then, if those macro aspects are on track, I would go for a second round of analysis, to ev"See full answer

Tanshi T. - "How many people are using the shuttle service? what are the stops for the service? What time does the shuttle service run? How many people are driving versus the shuttle service? "See full answer

Exponent - "This is a Measure Success question with a slight twist. The twist here is we need to consider a hypothetical change rather than one already built. This changes our formula slightly - specifically we may not be able to apply a UX flow to drive analysis since we're unsure of the implementation. Instead, we'll look at core behaviors that are indicative of success. Here's the modified formula: Ask clarifying questions State the goal of the feature **Apply a UX flow to drive an"See full answer

Exponent - "This question is a Diagnosis Question. Let's follow the template for answering Diagnosis Questions: Ask clarifying questions List potential high level reasons Gather context (with TROPIC method!) Establish a theory of probably cause Test theories Give a potential solution Summarize Ask Clarifying Questions Before we begin, it's important to ask clarifying questions if necessary. This question is quite straight forward so we may not have ma"See full answer

Exponent - "This is a Diagnosis Question. The goal of Diagnosis questions is to test whether the interviewee is organized and logical in their product approach. It also tests whether the PM is exhaustive in causes for decreases and whether they provides realistic solutions to the problem. Let's follow the Diagnosis Question formula: Ask clarifying questions Propose high level reasons for a drop Gather context (TROPIC) Establish a theory of probable cause Test theories "See full answer

Exponent - "You should be able to identify this as a Measure Success question. These kinds of questions are used to test your analytical skills, as well as your ability to track project progress post-launch. Recall the strategy for tackling them methodically and thoroughly: Ask clarifying questions State the goal of the feature / product Behavior Mapping / UX Flow Mapping Provide criteria to prioritize metrics Prioritize metrics Summarize Let's begin! Ask cl"See full answer

Jiin S. - "I would firstly see what's the trend of the sales by monthly, daily, and yearly to see when was the decline started and what happened during that time. I would also look at the sales by different customer or product segmentation to see what segment had the most decline in sales. Then, I would make some hypothesis where like for this age range customers with this product segment had a decline in sales due to XXX and we would increase the sales by YYY with this new feature. Then I would design the"See full answer

Divya K. - "You will need to start from Browser and go all the way up to Analytic systems and methods. Everything needs to be covered"See full answer

Anonymous Muskox - "Opportunity cost, cost of improving the feature, and its's further benefits. Overall business objective, Business stage. [Let's say we haven't acquired much of the customers, so thinking about improving the service won't be a good idea. We should try to scale when it is required.]"See full answer

Geo J. - "check y the -ve effect - ask them to solve that."See full answer

Sayee M. - "i asked if she meant operations business analytics metrics.. she clarified that she meant operational/stability metrics.. i explained that i used dynatrace to monitor the product and she said i want to know about SLAs etc. she was looking for the words SLA SLO and SLI.. i then explained SLA 99.99% various SLO's contributed to it like system uptime, continous testing of business functions, and incident mgmt metrics."See full answer

Bhagya D. - "Situation: Narrated about a time when the decision favored the most important customer, but appeared to be at the cost of diluting my own company's brand value. Context: Provided additional context around why the ask from the customer is very critical for the customer. And why my leadership wasn't ready to jump on the gun as it was cannibalistic to our brand value. Response: I used data to explain why it is not going to be a big blow to our brand value. Used a counter metric to show that we h"See full answer